Program Schedule
Schedule (Sunday, Jun 14 PDT)
08:40 – 09:00 Invited Talk 1: Scaling Spatio-Temporal Analytics: A Case in Agricultural Insights (Talk video here)
Sharath Pankanti (IBM T.J. Watson Research Center)
09:00 – 09:20 Invited Talk 2: Multi-modality Remote Sensing in High Throughput Phenotyping: Opportunities for Machine Learning (Talk video here)
Melba M. Crawford, Edward J. Delp (Purdue)
09:20 – 09:40 Invited Talk 3: Bridging Application and Research. Is agriculture just another application? (Talk video here)
Jennifer Hobbs (IntelinAir Inc.)
09:40 – 10:00 Invited Talk 4: Improving Visual and Speech Recognition on Out-Domain Data (Talk video here)
Liangliang Cao (Google Inc. and Umass)
10:00 – 10:20 Invited Talk 5: Learning to Anticipate (Talk video here)
Alex Schwing (UIUC)
10:20 – 11:10 Poster Session 1
11:10 – 11:20 Oral 1: MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation (Talk video here)
by Qinghui Liu et. al. @ Norwegian Computing Center, Oslo & UiT Machine Learning Group
11:20 – 11:30 Oral 2: Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors (Talk video here)
by Peri Akiva et. al. @ Rutgers University
11:30 – 11:40 Oral 3: Visual 3D Reconstruction and Dynamic Simulation of Fruit Trees for Robotic Manipulation (Talk video here)
by Francisco Yandun et. al. @ CMU
11:40 – 11:50 Oral 4: Cross-Regional Oil Palm Tree Detection (Talk video here)
by Wenzhao Wu et. al. @ Tsinghua University & CUHK
11:50 – 11:00 Oral 5: Effective Data Fusion with Generalized Vegetation Index (Talk video here)
by Hao Sheng et. al. @ Stanford University
11:00 – 12:10 Oral 6: Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark (Talk video here)
by Edson Bollis et. al. @ UNICAMP, Brazil
12:10 – 12:20 Oral 7: Fine-Grained Recognition in High-throughput Phenotyping (Talk video here)
by Beichen Lyu @ Purdue University
12:20 – 12:30 Oral 8: Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data (Talk video here)
by Ruchit Rawal et. @ NSUT & Max Planck Institute for Intelligent Systems
12:30 – 13:30 Lunch Break
13:30 – 13:50 Invited Talk 6: Towards Understanding Agricultural Systems at Scale using Machine Learning (Talk video here)
Stefano Ermon (Stanford)
13:50 – 14:10 Invited Talk 7: Interactive Object Segmentation (Live*) (Talk video here)
Yunchao Wei (University of Technology Sydney)
14:10 – 14:30 Invited Talk 8: Project FarmBeats: Aerial Mapping for Agricultural Farms and Beyond (Live*) (Talk video here)
Ranveer Chandra, Sudipta Sinha (Microsoft)
14:30 – 14:50 Invited Talk 9: Enabling the African Farmer (Live*) (Talk video here)
Munther Dahleh (MIT)
14:50 – 15:10 Invited Talk 10: (Live*)
Zsolt Kira (Georgia Tech)
15:10 – 15:55 Poster Session 2
15:55 – 16:10 Agriculture-Vision Prize Challenge Results Summary (Live*) (Talk video here)
by Mang Tik Chiu et. al. @ UIUC
16:10 – 16:20 Challenge Presentation 1: Residual DenseNet with Expert Network for Semantic Segmentation (Talk video here)
by Hyunseong Park et. al. @ Agency for Defense Development, South Korea
16:20 – 16:30 Challenge Presentation 2: MSCG-Net Models for The 1st Agriculture-Vision Challenge (Talk video here)
by Qinghui Liu et. al. @ Norwegian Computing Center, Oslo & UiT Machine Learning Group
16:30 – 17:20 Panel Discussion: Challenge & Opportunities for Computer Vision in Agriculture (video here)
Host:
Naira Hovakimyan (UIUC)
Panelists:
Sharath Pankanti (IBM T. J. Watson Research Center)
Liangliang Cao (Google Research)
Ranveer Chandra (Microsoft Azure Global)
Sudipta Sinha (Microsoft)
Munther Dahleh (MIT)
Ed Delp (Purdue)
Melba Crawford (Purdue)
Jennifer Hobbs (Intelinair Inc.)
Yunchao Wei (University of Technology Sydney)
Alexander Schwing (UIUC)
Zsolt Kira (Georgia Tech)
David Wilson (Intelinair Inc.)
Jim Yuan (Google X)
Humphrey Shi (U of Oregon)
17:20 – 17:30 Closing Remarks